Dell Inc. OptiPlex 7010
Geekbench AI Score
667
Single Precision Score
657
Half Precision Score
1038
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | darronb |
| Upload Date | December 28 2024 09:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3770 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7010 |
| Motherboard | Dell Inc. 0WR7PY |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
324
60.3 IPS |
|
|
Image Classification (HP)
|
100% |
322
60.0 IPS |
|
|
Image Classification (Q)
|
100% |
734
136.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
927
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
577
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
573
0.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
1308
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (Q)
|
87% |
652
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
1045
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
1809
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1044
8.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
1028
7.92 IPS |
|
|
Depth Estimation (Q)
|
81% |
1674
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1766
2.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1757
2.26 IPS |
|
|
Style Transfer (Q)
|
98% |
3852
4.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
768
28.5 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
717
957.5 IPS |
|
|
Text Classification (Q)
|
91% |
412
554.3 IPS |
|
|
Machine Translation (SP)
|
100% |
659
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
100% |
678
11.7 IPS |
